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Visitation data at manufacturing facilities can shed light on consumer demand and industrial output trends. We dove into the traffic data at a composite of manufacturing facilities across the United States to find out how the potential tariffs are impacting manufacturing output.
We recently explored how potential tariffs are shaping consumer behavior and retail visitation trends, but location analytics data also offers valuable insights into industrial manufacturing demand by analyzing employee visitation patterns at production facilities. By tracking foot traffic, analysts can assess workforce activity levels, which often correlate closely with production volumes. For instance, increased visits by employees may signal ramped-up output to meet rising demand, while declining visitation can indicate reduced shifts or slowed operations. This data-driven approach enables businesses and investors to make more informed decisions by monitoring real-time industrial activity and anticipating future demand.
Below, we present visitation data for a composite of manufacturing facilities across more than 80 companies, covering a diverse set of sectors including aerospace and defense, automakers, auto parts, building materials, containers and packaging, machinery, and specialty chemicals. Our dataset includes metrics for both employees (estimated using dwell time) and visitors, who often represent logistics partners delivering raw materials, transporting work-in-progress goods, or picking up finished products. Historically, our composites have shown a strong correlation with U.S. Census Bureau data on new orders for manufactured goods (measured in billions of dollars), with the relationship even stronger when adjusted for calendar shifts and seasonal slowdowns during the November/December holiday period.
Although the U.S. Census Bureau’s data is not yet out for March 2025, Placer’s aggregated visitation data for manufacturing facilities indicated a pull forward in demand, indicating that companies have accelerated production in anticipation of potential reciprocal tariff implementation. Facing the prospect of rising costs on imported materials and components, many manufacturers ramped up operations to build inventory and secure supply chains ahead of the policy shift. This proactive approach was especially evident in sectors heavily reliant on global sourcing, with visitation data reflecting heightened on-site activity. While this front-loaded demand may offer short-term stability, it also raises concerns about how manufacturers will manage longer-term cost pressures and supply chain challenges if tariffs are enacted.
Year-to-date manufacturing data shows increased activity at facilities in sectors likely to be affected by reciprocal tariffs – such as aerospace and defense, industrial machinery, and packaging and containers – suggesting manufacturers are accelerating production and shipping to get ahead of potential disruptions. Automobile manufacturing, in particular, warrants attention given recent tariff developments. Both Ford and General Motors ramped up production in late March 2025, evidenced by the jumps in visitation to manufacturing facilities in late March and early April. By acting now, these automakers aim to reduce near-term risks while evaluating longer-term adjustments to their sourcing and production strategies.
From a regional perspective, both Idaho and West Virginia saw some of the largest year-over-year increases in manufacturing visitation during March 2025, driven by rising demand in each state’s key industrial sectors. West Virginia experienced heightened activity in the steel sector – including at companies like Nucor – as producers accelerated output and bolstered inventory ahead of potential supply disruptions. Meanwhile, Idaho saw increased visits to basic materials and packaging/container manufacturers, with companies like CRH and Packaging Corporation of America ramping up operations in anticipation of reciprocal tariffs. Idaho also benefited from continued population growth, as noted in our 2024 Migration Trends Whitepaper. Together, these trends highlight how manufacturers in both states are proactively responding to potential pricing volatility and supply chain challenges tied to ongoing trade policy uncertainty.
As tariff-related uncertainty continues to shape business strategies, location analytics offers a powerful lens into how manufacturers are responding in real time. The surge in visitation activity across key sectors and regions in March 2025 underscores a broader trend of companies accelerating production and reinforcing supply chains ahead of potential policy shifts. From automotive to steel and packaging, manufacturers are not only pulling forward demand but also adapting operations to navigate rising input costs and global sourcing challenges. As trade dynamics evolve, continued monitoring of on-site activity through visitation data will be essential for understanding industrial demand, anticipating disruptions, and guiding more strategic decision-making across the supply chain.
When I first started Omni Talk back in 2017, I used to borrow liberally from the great Peter King and his Monday Morning Quarterback Series. In fact, one of the first articles I ever wrote – 10 Things I Think I Think I Love and Don’t Love about Walmart Right Now – was an outright homage to the man.
The double use of “I Think” is unparalleled. It is pure genius. How the man came up with it, I will never know. It is the perfect mix of WTF and stop you in your tracks syntax because this article looks like it is going to be interesting.
All of which is why I am going back to my roots and imitating “The King” once again for my new column called, All The Things I Think I Think About Retail Over The Last Quarter.
I am sure Mr. King never envisioned that his wise words about the gridiron every Monday morning would still inspire a now pushing-50 retail pundit to wax poetically about the state of retail but here I am, 8 years later, doing just that.
So away we go!
Ashley Buchanan, the former Michaels CEO, is the right man for the job at Kohl’s. Buchanan did a wonderful job instilling an omnichannel foundation at Michaels and has a background rooted in innovation and digital from previous stints at Walmart and Sam’s Club. In fact, I said on a recent podcast that Target would have been wise to look at him to succeed Brian Cornell.
But I do not envy Buchanan.
Not. One. Bit.
Turning Kohl’s around is going to be tough. Buchanan inherits 12 consecutive quarters of comparable sales declines, alongside store traffic trends that read like the opening of a John Carpenter movie.
In its most recent quarter, comparable sales at Kohl’s were a negative 6.7%, and Kohl’s also said that it expects 2025 revenue to fall in the range of 5% to 7%. Frightening indeed. Let’s just hope Buchanan doesn’t already feel like Jamie Lee Curtis trapped in a closet trying to fight her way out with coat hangers.
It is no wonder that Buchanan has already instituted page one of every new CEO’s playbook – i.e. laying off 10% of your corporate workforce – because, lord knows, he is going to need the wiggle room (and as many coat hangers as he can get his hands on).
Costco shareholders overwhelmingly (approximately 98% of them) voted down a measure in late January that urged Costco to assess the risk associated with its DEI practices. Costco’s leadership came out strongly against the measure, arguing that its “commitment to an enterprise rooted in respect and inclusion is appropriate and necessary."
Or said another way, Costco held to a position that many others, including Walmart, Target, and Tractor Supply Company, have not.
In my retail experience, the general impact of taking a strong position on something like this publicly is felt near the beginning of such an announcement and then the impact gradually settles over time.
If that were the case, Costco would have felt the impact in February, but Costco’s recently announced results indicate otherwise.
In its most recent quarter, which ended on January 31, 2025, Costco’s U.S. comparable sales increased 8.7% excluding impacts from gas deflation, while in February, its comparable sales held strong at 8.6%, also excluding any impacts from gas.
I’m no mathematician but that is hardly a dip.
Costco is still experiencing year-over-year traffic patterns, particularly into February (more on that later), of which other retailers can only dream; its U.S. membership renewal rate sits right around 93%; and its Kirkland signature brand appears to be a great hedge against inflation in that it, according to Costco CFO Gary Millerchip, “continues to grow at a faster pace than our business as a whole.”
The Costco executive team also did not mention word one of any DEI impact on its financial results within its last earnings call, something of which Costco no doubt would be conscious of given the current legal and political climate.
No, for all intents and purposes, at least initially, Costco appears to be holding strong to its principles and doing just fine.
Under CEO Jack Sinclair, Sprouts has done a masterful job rightsizing its store prototype, bringing differentiation back to its assortment, and playing on the post-pandemic trend of consumers having a willingness to make that extra trip, as long as it is convenient for them (see below).
Sprouts also has a load of dry powder in its keg. For example, Sprouts still does not have a loyalty program (something it plans to launch in Q3 of this year) and only operates in 24 states.
Or, put mildly, that right sized prototype that has been doing so well? The one driving an 11.5% comp in Sprouts’ most recent quarter?
It still has a lot more room to grow.
Macy’s new CEO Tony Spring loves to talk about the results Macy’s is seeing out of its “First 50” locations, i.e. the 50 locations Macy’s has designated to trial new innovations to improve its overall business. Examples of these innovations include things like: enhanced staffing in certain areas of the stores, modernized visual presentations, enhanced merchandising, or aka all the garden variety things anyone who has been around retail longer than three minutes would expect to see within a test of this kind.
In January, Macy’s reported that its First 50 stores delivered a +1.9% sales comp in Q3 2024, outpacing other Macy's stores by 4.1%, and that it planned to expand its First 50 initiative to another 75 stores over the course of 2025.
All sounds great, right?
Not to me it doesn’t.
First off, in its most recent quarter (Q4 2024), the spread between the First 50 stores and the rest of the Macy’s chain appears to have slipped. Executives reported a 1.2% comp in the First 50 stores against a 0.9% comp decline in its Macy’s nameplate stores. In isolation, this performance might look good on paper, but looking at it against the trend line, one could argue that the First 50 stores performed relatively worse in Q4 than the rest of the chain. The chain’s performance picked up, while the First 50’s fell off.
Second, and perhaps more importantly, I have been around retail long enough to know that one should take the results of tests like these with a fine grain of salt. Many factors can impact the performance of 50 stores, particularly when a new CEO has just taken the helm. The least of which is that everyone in the entire Macy’s organization knows the importance of these stores and, therefore, is likely extra committed to making sure they succeed. As the focus wears off, tests like these usually revert back to the mean.
And, the mean, which looks somewhere in the range of just shy of a -0.9% (at best) to a -6.0% comp (at worst) across the last two quarters, won’t keep the Macy’s Day parade balloons afloat come Thanksgiving time.
Fortunately, Bloomingdale’s is not Macy’s and vice versa. I say that because Bloomingdale’s, unlike Macy’s, could be onto something with its small format strategy.
According to Macy’s website, Bloomingdale’s has 33 full-sized U.S. store locations compared to Macy’s 479.
That is quite the delta.
So much so, that one has to wonder if, similar to Sprouts above, small format Bloomie’s stores throughout the country (of which there are three currently in the U.S.) could become a significant growth vehicle for Bloomingdale’s.
I am on record as saying that when there are already 479 larger-sized Macy’s stores, the last thing anyone needs is a smaller Macy’s. That same logic, however, cannot be applied to Bloomingdale’s because only 33 Bloomingdale’s stores actually exist. The majority of the country has no idea what a Bloomingdale’s experience is like, let alone how to compare shopping at a bigger one versus a smaller one. Consumers generally prefer shopping at a store with a greater selection unless, of course, their next best option is no selection at all.
The data from the three smaller format Bloomie’s stores appears to prove this logic out (see below):
Year-over-year visit growth to Boomie’s stores across six of the last nine quarters has outpaced the general department store industry by a wide margin.
Granted, it is still only three stores, but the logic of the strategy is sound, provided Macy’s can operate these smaller Bloomie’s stores profitably (which is still a big unknown – and an issue that also plays into the Macy’s First 50 stores outlined above).
Target, my alma mater, so to speak, has been stuck in neutral since even before the pandemic began.
I don’t know when or why it happened but, at some point, Target became myopic in its strategy, failing to look beyond its vaunted “owned brands” for growth. While others, like Walmart, were evolving with the times, Target stood flat footed and failed to adapt its Expect More, Pay Less brand promise to the needs of its 21st century, digital-first consumer.
Make no mistake: Target’s former beachheads are now all under siege.
Its higher income demographic shoppers are moving to Walmart because of Walmart’s much stronger competitive positioning of Walmart+; fast fashion players like Shein and Temu are stealing share in apparel; the club channel is more formidable than ever; and Wayfair (more on that in a minute) is now the go-to online source for home furnishings. Taken together, it all means less trips into a Target store over the long-term.
A lot less trips.
But that is just the digital impact. Merchandising execution and in-stocks continue to plague the retailer as well, with many people both in and outside of the organization asking if it isn’t time for Target to return to office, similar to Walmart, Amazon and many others before them.
Something is causing the temperature of Target’s porridge to feel just not quite right (see traffic patterns below). Could it be that the goldilocks shine of CEO Brian Cornell’s strategy to wait by the wayside as other retailers started going out of business is starting to wear off?
Cornell, himself, in Target’s most recent earnings call, lauded the $30 billion of additional revenue Target has gained since 2019, but how much of that was pure inflation and inertia given the bankruptcies of Toys R Us, Bed Bath & Beyond, Party City, and many, many more?
A new alarming feature is what appears to be a precipitous decline in February, corroborated by what Target CFO Brian Lee called “soft” topline performance for the month in the aforementioned earnings call.
Target did not mention its recent DEI rollback as a possible rationale for its slow February, citing instead things like “extreme cold” and “flood and fires,” but the prospect of a 40-day boycott in response to the rollback sure as heck won’t make things any easier.
Target has its work cut out for it, to say the least. Its new $15 billion growth plan is potentially a step in the right direction. However, I worry that, when one looks under the covers of that plan, all he or she will find is the same owned brand gobbledygook that Target has espoused ever since Cornell took over.
And that owned brand well, in relation to the competitive issues outlined above, is done and dried up.
Wayfair announced in January 2025 that it was planning to exit Germany. According to Retail Dive, Wayfair said that it “plans to reinvest cost savings from backing out of Germany into expanding its physical retail footprint.”
After many (what some might call, or at least I would) failed attempts at smaller physical store concepts, Wayfair opened a 150,000 square foot mega store just outside of Chicago. From the looks of the data below, this larger store concept, one of which I have also been a big fan of for sometime now, appears to be showing encouraging signs.
Moreover, the home furnishings industry also appears to be on a bit of a rebound. Traffic to home furnishings players appears to be picking up (see below) and Home Depot just posted its first positive comp quarter after eight consecutive quarterly declines.
Wayfair’s CEO Niraj Shah is as shrewd as they come, and he may just be betting on stores right as a big tailwind is ready to hit his back.
Is it a coincidence then that Wayfair just announced the launch of its second large format store in Atlanta?
I think I think not.
New CEO Brian Niccol took the helm in September of last year and wasted no time in establishing his priorities. Put simply, Niccol wanted to reignite the “third place” atmosphere of Starbucks and ensure that all in-store customers get served their orders in under four minutes or less.
Early results look promising.
While Starbucks’ same-store sales did decline by 4% during the last quarter, this figure still beat Wall Street estimates, which, according to CNBC, had predicted a 5.5% drop.
Traffic data also supports Niccol’s moves (see below).
Lord knows, it’s early here, too, and the February traffic decline is definitely something to watch. But, given that Niccol has only been in his role since September, these results at least have the aroma of an early turnaround.
Unless of course, you are a regular Frappaccino drinker – because then you are probably pissed.
For the past six years, Sam’s Club has sat atop my list as the most innovative retailer in America not named Amazon. It is an award well-deserved for a number of reasons.
First, Sam’s Club has been on a winning streak. In its most recent quarter, Sam’s Club delivered a 6.8% sales comp, excluding fuel.
Second, Sam’s Club has seen explosive growth in digital both online and in-store. E-commerce sales were up over 24% in the last quarter, and the use of its scan and go shopping app hit an all-time high during the same period. This last statistic might not sound like much, but the Sam’s Club executives I have interviewed on multiple occasions have all told me that 1 in 3 shoppers regularly use their scan and go app.
1 in 3!
I am going to go out on a limb here but my guess is that Costco’s mobile app usage is nowhere near that high, particularly in-store.
Third, Sam’s Club is also winning with young people. Sam's Club has reported record highs in membership numbers and renewal rates, with particularly strong growth among Gen Z (63% over two years) and millennials (14% over two years).
The combination of a digital-first shopping experience and a growing percentage of younger people shopping in its stores means that Sam’s Club is positioned to create the most one-to-one personalized shopping experience out there.
Retail media anyone?
I say that in jest but the profit-enhancing effects of retail media are real (see Walmart), and Sam’s Club has created a visual menu board to serve up advertisements to one-third of its shoppers right as they are standing at the shelf. Can Costco or anyone else for that matter do that?
Not nearly to the same degree.
Concluding Thoughts
There you have it. All the things I think I think about retail over the last quarter, and in no particular order of importance.
So, I ask you in closing – what do you think of what I think?
McDonald's and Chipotle, two of the most significant players in the quick-service and fast-casual dining sectors, are maintaining a promising trajectory despite the current economic uncertainty. With the first quarter of 2025 concluded, we examined their recent visit patterns and explored some of the strategies these two dining giants are employing to drive visits.
Although the visit gap to McDonald’s widened slightly – from -1.7% year-over-year (YoY) in Q4 2024 to -2.6% in Q1 2025 – traffic to the chain still remains close to last year's levels, suggesting that its value proposition continues to resonate strongly with its customer base even during times of economic uncertainty.
Meanwhile, Chipotle continues to see YoY visit growth, with YoY foot traffic to the chain rising by 4.5% in Q1 2025.
Some of the company’s strength may be attributed to its strategic fleet expansions, particularly in smaller markets. Moving forward, Chipotle has set its sights on opening roughly 350 new locations throughout 2025, with a focus on drive-through – another major growth driver for the chain.
A Minecraft Movie debuted on April 3rd, 2025, and McDonald’s, perhaps recalling the success of its Adult Happy Meal promotion, participated in the movie rollout by offering a Minecraft Movie special. The meal, which includes Minecraft-themed collectibles, is available for a limited time, creating a sense of urgency for diners – something that McDonald’s has used in the past to great success.
The impact of the special was already evident in the first week following the release. Visits to McDonald’s on Tuesday, April 1st – when the special launched – were 12.2% higher than the year-to-date (YTD) average Tuesday visit count for 2025. And the launch provides a continued boost to the chain, with visits on the following two Tuesdays elevated by 9.5% and 7.4%, respectively, relative to the YTD Tuesday visit average.
Chipotle, too, has leveraged limited-time offers and specials to great success, with chicken-focused promotions like 2024’s Chicken al Pastor and, more recently, the introduction of a Honey Chicken special driving visits to the chain.
Visits to Chipotle jumped by 6.3% above the YTD weekly visit average during the week of March 10th, 2025, when the special launched, and remained elevated through the rest of the month. While visit numbers had been trending slightly upward towards the end of February, the launch of the Honey Chicken special seems to have driven a sustained visit surge. Burrito Day provided another visit boost to the chain, with Thursday visits on April 3rd – the day of the launch – elevated by 13.0% relative to the YTD Thursday visit average.
McDonald’s and Chipotle are maintaining their position in a challenging market, driving visits through carefully considered expansion, specials, and promotions.
Will these visits continue to hold pace as Q2 gets underway?
Visit Placer.ai for the latest data-driven dining insights.
Los Angeles is famous for its film and music industry, but the city also boasts several world-class museums that educate and entertain local visitors and tourists alike. We dove into the data for several of LA’s top museums in order to examine the visitation patterns and demographics of museum goers in the City of Angels.
Analyzing monthly visits to the top LA museums over the past 12 months reveals that although most receive a visit boost in the spring and summer, each institution has a unique seasonal visit pattern.
The California Science Center and La Brea Tar Pits and Museum received the largest July visit surges, likely due to heavy traffic from young families on vacation. Meanwhile, The Petersen Automotive Museum received the largest December visit spike, perhaps due to a boost from private holiday events. And The Museum of Contemporary Art appears to have maintained a steady flow of visitors – experiencing a relatively muted summer uptick, but relatively robust visits in the fall.
Diving further into the data reveals that LA museums are particularly popular with hyper-local visitors and with out-of-towners: Every museum analyzed received large shares of visitors from less than 30 and/or from more than 250 miles away, with fewer visitors coming from 30-250 miles.
The California Science Center received the greatest share of visitors residing less than 30 miles (60.7%) from the museum, perhaps due to its popularity with educational groups and its location in bustling Exposition Park.
Griffith Observatory, with views of the Hollywood sign and Los Angeles's urban landscape, was highly popular with out-of-town visitors – 48.7% of guests resided at least 250 miles away. And as a unique active fossil excavation site, La Brea Tar Pits and Museum was also favored by out-of-town visitors (42.9% of guests came from 250+ miles away).
The relatively high shares of out-of-town visitors at most LA museums analyzed highlights the role that tourists play in supporting LA’s cultural institutions. And diving into the median HHI in the museums’ captured market reveals that these out-of-towners may represent a particularly desirable audience.
In general, the museums analyzed tend to attract a relatively wealthy audience. In 2024, the median household income (HHI) in all the analyzed museums’ captured market trade areas was higher than the median HHI nationwide ($79.6K/year) – perhaps due to California’s relatively high median HHI of $99.3K/year. Most museums also drove traffic from regions with a higher median HHI than the state benchmark – likely due to the relative affluence of the Los Angeles area. The Getty and The Museum of Contemporary Art’s captured trade areas had the highest median HHIs, at $107.2K/year and $103.7K/year, respectively.
But when analyzing only out-of-town visitors (who traveled 250 miles or more), the median HHIs of the captured trade areas increased – indicating that out-of-town museum guests were more affluent than local ones. This suggests that tickets to special exhibitions could be set at higher price points during peak seasons when more out-of-town guests are anticipated.
Though there are similarities between the behavior and demographics of visitors to LA’s museums, they each experience somewhat distinct seasonal visit patterns and attract diverse audiences. With the busiest museum season ramping up, cultural institutions stand to gain from understanding the changing characteristics of their guests.
For more insights, visit Placer.ai.
Marketers, retailers, and category managers spend a lot of time trying to analyze the retail preferences of Gen Z shoppers. Meanwhile, Gen X and Baby Boomers are seldom considered, even though almost 40% of American adults are aged 55 or older. We analyzed the latest data to better understand these frequently overlooked consumer segments.
Although the overwhelming majority of older Americans spend several hours a day online and over half of American seniors own a smartphone, the data indicates many consumers aged 55+ are still more comfortable shopping in-store.
Comparing the age distribution among adult visitors to Walmart’s website with the age distribution in Walmart’s offline trade area shows that older consumers (aged 55+) are overrepresented in the retailer’s offline trade area relative to its online visitor base.
Offline shopping offers a range of benefits, from personalized service to the ability to physically examine products and the convenience of walking out with the purchased items. Retailers looking to increase their penetration with older audience segments might consider investing in brick-and-mortar stores that give older consumers the shopping experience that best fits their needs.
For retailers looking to reach Gen X and Baby Boomers, merely building brick-and-mortar channels may not be enough – brands should also ensure that the in-store experience is optimized for older audiences. And the first step may be ensuring that staffing and opening hours are adapted to the shopping habits of older Americans.
Analyzing the hourly visit distribution at L.L. Bean and Ocean State Job Lot – two chains particularly popular with a variety of older audiences – suggests that Gen X and Baby Boomer shoppers may prefer visiting stores earlier in the day: Visits between the hours of 9 AM and 2 PM accounted for a much larger share of visits to both chains when compared to visitation behavior for the wider category. So retailers seeking to attract Gen X and Baby Boomers may consider earlier opening hours and robust staffing during the late morning and early afternoon.
At the same time, while many older consumers do exhibit some commonalities – such as a preference for offline shopping or for earlier-in-the-day store visits – it is important to remember that older shoppers are not a monolith. Like other age-based market segments, the label of “older consumer” lumps together a variety of customer types from various socioeconomic backgrounds representing a wide array of values and interests. Retailers looking to cater to this demographic should also consider the particular characteristics of their target audience beyond the general attributes common to many older consumers.
The chart below shows the share of various “Boomer” segments (from the Spatial.ai: PersonaLive dataset) in the trade areas of seven apparel retailers popular with older consumers. All these segments – Sunset Boomers, Suburban Boomers, and Budget Boomers – consist of consumers aged 65-74, but their living arrangements and household income levels vary. And as the chart shows, each Boomer segment exhibits unique brand affinities.
Sunset Boomers – the most affluent segment – were significantly overrepresented in the captured markets Talbots, Anthropologie, Vineyard Vines, and Chico’s. Suburban Boomers – middle-class older consumers – were also slightly overrepresented in Talbots, Vineyard Vines, and Chico’s captured market, but were underrepresented for Anthropologie and significantly overrepresented at Boscov’s. And Budget Boomers – older consumers with household incomes of $35K to $50K – were overrepresented in Bealls and Cato’s captured market even though these retailers did not seem particularly popular with the other two Boomer segments.
To effectively target older consumers, retailers should assess how their products and services align with the unique tastes and spending abilities of each Boomer and Gen X sub-segment.
Older consumers make up a significant share of U.S. shoppers, even though this demographic is not always top of mind for marketers and retailers. By embracing the continued importance of physical stores and adapting to the specific shopping behaviors of Baby Boomers and Gen X consumers, retailers can cultivate stronger engagement with these segments. Ultimately, though, success with this audience will hinge on recognizing the heterogeneity of older shoppers and tailoring strategies accordingly.
For more data-driven retail insights, visit placer.ai/anchor.
After leap year comparison induced year-over-year (YoY) declines in February 2025, foot traffic to the Placer 100 Index for Retail & Dining stabilized in March 2025 to just -0.3% below 2024 levels – an impressive performance considering the severe weather that impacted large parts of the country.
State-level analysis of March 2025 visits to the Placer 100 Index reveals that massive storms indeed contributed significantly to regional foot traffic declines. States that bore the brunt of inclement weather in March 2025 – particularly in the Southeastern and Central United States – appeared to experience the steepest YoY visit gaps.
Despite the extreme climate conditions, some chains managed to plow ahead, enjoying visit growth in March 2025. Once again, Chili’s Grill & Bar held on to the top spot in the Placer 100 Index for YoY visits (22.6%) and visits per location (23.4%) growth, likely due to continued success in the areas of value and virality. Meanwhile, three fitness chains made the top 10 in YoY visits – Crunch Fitness (22.5%), LA Fitness (10.0%), and Planet Fitness (9.7%), at least in part due to continuing expansions of their respective footprints.
Expansion is perhaps only one driving factor behind the success of Crunch Fitness, Planet Fitness, and LA Fitness in March 2025. The beginning of the year is generally busy for fitness chains as many consumers adopt new years’ resolutions to get in shape, even if many abandon their pursuit down the line. But the data suggests that Crunch Fitness, Planet Fitness, and LA Fitness experienced visit growth in March in part due to a sustained increase in visitor frequency.
All three chains saw an increase in the share of visitors visiting 8 or more times in March 2025 compared to 2024, indicating that the chains are driving more traffic from fitness-invested visitors. And these fitness buffs, who attend the gym quite often, are perhaps less likely to give up on their fitness goals during the year, which bodes well for the fitness chains’ chances to sustain members and elevated traffic in the months ahead.
The Placer 100 Index for March 2025 demonstrates the effect of harsh winter conditions on retail and dining visits. Still, the strong performance of several chains highlights the consumer trends and brand strategies that can drive growth.
For more insights anchored in location analytics, visit Placer.ai/anchor.
1. Expanded grocery supply is increasing overall category engagement. New locations and deeper food assortments across formats are bringing shoppers into the category more often, rather than fragmenting demand.
2. Grocery visit growth is being driven by low- and middle-income households. Elevated food costs are leading to more frequent, budget-conscious trips, reinforcing grocery’s role as a non-discretionary category.
3. Short, frequent trips are a major driver of brick-and-mortar traffic growth. Fill-in shopping, deal-seeking, and omnichannel behaviors are pushing visit frequency higher, even as trip duration declines.
4. Scale is accelerating consolidation among large grocery chains. Larger retailers are using their size to invest in value, assortment, private label, and execution, allowing them to capture longer and more engaged shopping trips.
5. Both large and small grocers have viable paths to growth. Large chains are winning by competing for the full grocery list, while smaller banners can grow by specializing, owning specific missions, or offering compelling value that earns them a place in shoppers’ routines.
While much of the retail conversation going into 2026 focused on discretionary spending pressure, digital substitution, and higher-income consumers as the primary drivers of growth, grocery foot traffic tells a different story.
Rather than being diluted by new formats or eroded by e-commerce, brick-and-mortar grocery engagement is expanding. Visits are rising even as grocery supply spreads across wholesale clubs, discount and dollar stores, and mass merchants. At the same time, growth is being powered not by affluent trade areas, but by low- and middle-income households navigating higher food costs through more frequent, targeted trips. Shoppers are showing up more often and increasingly splitting their trips across retailers based on value, availability, and mission – pushing grocers to compete for portions of the grocery list instead of the full weekly basket.
The data also suggests that the largest grocery chains are capturing a disproportionate share of rising grocery demand – but the multi-trip nature of grocery shopping in 2026 means that smaller banners can still drive traffic growth. By strengthening their value proposition, specializing in specific products, or owning specific shopping missions, these smaller chains can complement, rather than compete with, larger one-stop destinations.
Ultimately, AI-based location analytics point to a clear set of grocery growth drivers in 2026: expanded supply that increases overall engagement, more frequent and mission-driven trips, and continued traffic concentration among large chains alongside new opportunities for smaller banners.
One driver of grocery growth in recent years is simply the expansion of grocery supply across multiple retail formats. Wholesale clubs are constantly opening new locations and discount and dollar stores are investing more heavily in their food selection, giving consumers a wider choice of where to shop for groceries. And rather than fragmenting demand, this broader availability appears to have increased overall grocery engagement – benefiting both dedicated grocery stores and grocery-adjacent channels.
Grocery stores continue to capture nearly half of all visits across grocery stores, wholesale clubs, discount and dollar stores, and mass merchants. That share has remained remarkably stable thanks to consistent year-over-year traffic growth – so even as grocery supply increases across categories, dedicated grocery stores remain the primary destination for food shopping.
Meanwhile, mass merchants have seen a decline in relative visit share as expanding grocery assortments at discount and dollar stores and the growing store fleets of wholesale clubs give consumers more alternatives for one-stop shopping.
While much of the broader retail conversation heading into 2026 centers on higher-income consumers carrying growth, the trend looks different in the grocery space. Recent visit trends show that grocery growth has increasingly shifted toward lower- and middle-income trade areas, underscoring the distinct dynamics of non-discretionary retail.
For lower- and middle-income shoppers, elevated food costs appear to be translating into more frequent grocery trips as consumers manage budgets through smaller baskets, deal-seeking, and shopping across retailers. In contrast, higher-income households – often cited as a key growth engine for discretionary retail – are contributing less to grocery visit growth, likely reflecting more stable shopping patterns or a greater ability to consolidate trips or shift spend online.
This means that, in 2026, grocery growth is not being propped up by high-income consumers. Instead, it is being fueled by necessity-driven shopping behavior in lower- and middle-income communities – reinforcing grocery’s role as an essential category and suggesting that similar dynamics may be at play across other non-discretionary retail segments.
Another factor driving grocery growth is the rise in short grocery visits in recent years. Between 2022 and 2025, the biggest year-over-year visit gains in the grocery space went to visits under 30 minutes, with sub-15 minute visits seeing particularly big boosts. As of 2025, visits under 15 minutes made up over 40% of grocery visits nationwide – up from 37.9% of visits in 2022.
This shift toward shorter visits – especially those under 15 minutes – is driven in part by the continued expansion of omnichannel grocery shopping, as many consumers complete larger stock-up orders online and rely on in-store trips for order collection or quick, fill-in needs. At the same time, the rise in short visits paired with consistent YoY growth in grocery traffic points to additional, behavior-driven forces at play – consumers' growing willingness to shop around at different grocery stores in search of the best deal or just-right product.
Value-conscious shoppers – particularly consumers from low- and middle-income households, which have driven much of recent grocery growth – seem to be increasingly shopping across multiple retailers to secure the best prices. This behavior often involves making targeted trips to different stores in search of the strongest deals, a pattern that is contributing to the rise in shorter, more frequent grocery visits. At the same time, other grocery shoppers are making quick trips to pick up a single ingredient or specialty item – perhaps reflecting the increasingly sophisticated home cooks and social media-driven ingredient crazes. In both these cases, speed is secondary to getting the best value or the right product.
So while some shorter visits reflect a growing emphasis on efficiency – as shoppers use in-store trips to complement primarily online grocery shopping – others appear driven by a preference for value or product selection over speed. Despite their differences, all of these behaviors have one thing in common – they're all contributing to continued growth in brick-and-mortar grocery visits. Grocers who invest in providing efficient in-store experiences are particularly well-positioned to benefit from these trends.
As early as 2022, the top 15 most-visited grocery chains already accounted for roughly half of all grocery visits nationwide. And by outpacing the industry average in terms of visit growth, these chains have continued to capture a growing share of grocery foot traffic.
This widening gap suggests that scale is increasingly enabling grocers to reinvest in the factors that attract and retain shoppers. Larger chains are better positioned to invest in broader and more differentiated product selection, stronger private-label programs that deliver quality at accessible price points, competitive pricing, and operational excellence across stores and omnichannel touchpoints. These capabilities allow top chains to serve a wide range of shopping missions – from quick, convenience-driven trips to more intentional visits in search of the right product or ingredient.
Consolidation at the top of the grocery category is reinforcing a virtuous cycle: scale enables better value, selection, and experience, which in turn draws more shoppers into stores and supports continued grocery traffic growth.
In 2025, the top 15 most-visited grocery chains accounted for a disproportionate share of visits lasting 15 minutes or more, while smaller grocers captured a larger share of the shortest trips. As shown above, larger grocery chains, which tend to attract longer visits, grew faster than the industry overall – but short visits, which skew more heavily toward smaller chains, accounted for a greater share of total traffic growth. Together, these patterns show that both long, destination trips and short, targeted visits are driving grocery traffic growth and creating viable paths forward for retailers of all sizes.
Larger chains are more likely to serve as destinations for fuller shopping missions, competing for the entire grocery list – or a significant share of it. But smaller banners can grow too by competing for more short visits. By specializing in a specific product category, owning a clearly defined shopping mission, or delivering a compelling value proposition, smaller grocers can earn a place in shoppers’ routines and become a deliberate stop within a broader grocery journey.
As grocery moves deeper into 2026, growth is being driven by the cumulative effect of how consumers are navigating food shopping today. Expanded supply has increased overall engagement, higher food costs are driving more frequent and targeted trips, and shoppers are increasingly willing to split their grocery list across retailers based on value, availability, and mission.
Looking ahead, this suggests that grocery growth will remain resilient, but unevenly distributed. Retailers that clearly understand which trips they are best positioned to win – and invest accordingly – will be best placed to capture that growth. Large chains are likely to continue benefiting from scale, consolidation, and their ability to serve full shopping missions, while smaller banners can grow by earning a defined role within shoppers’ broader grocery journeys. In 2026, success in grocery will be less about winning every trip and more about consistently winning the right ones.
To optimize office utilization and surrounding activity in 2026, stakeholders should:
1. Plan for continued, but slower, office recovery. Attendance continues to rise and has reached a post-pandemic high, but moderating growth suggests the return-to-office may progress at a more gradual and incremental pace than in prior years.
2. Account for growing seasonality in office staffing, local retail operations, and municipal services. As office visitation becomes increasingly concentrated in late spring and summer, offices, downtown retailers, and cities may need to plan for more predictable peaks and troughs by adjusting hours, staffing levels, and local services accordingly, rather than relying on annual averages.
3. Align leasing strategies with seasonal demand. Stronger attendance in Q2 and Q3 suggests these quarters are best suited for leasing activity, while softer Q1 and Q4 periods may be better used for renovations, repositioning, and targeted activation efforts designed to draw workers in.
4. Design hybrid policies around midweek anchor days. With Tuesdays and Wednesdays consistently driving the highest office attendance, employers can maximize collaboration and space utilization by concentrating meetings, programming, and in-office expectations midweek.
5. Reduce early-week commute friction to support attendance. Monday office attendance appears closely correlated with commute ease, suggesting that reliable and efficient transportation may be an important factor in early-week office recovery.
6. Prioritize proximity in leasing and development decisions. Visits from employees traveling less than five miles to work have increased steadily since 2019, reinforcing the value of centrally located offices and housing near employment hubs.
2025 was the year of the return-to-office (RTO) mandate. Employers across industries – from Amazon to JPMorgan Chase – instituted full-time on-site requirements and sought to rein in remote work. But the year also underscored the limits of policy. As employee pushback and enforcement challenges mounted, many organizations turned to quieter tactics such as “hybrid creep” to gradually expand in-office expectations without triggering outright resistance.
For employers seeking to boost attendance, as well as office owners, retailers, and cities looking to maximize today’s visitation patterns, understanding what actually drives employee behavior has become more critical than ever. This reports dives into the data to examine office visitation patterns in 2025 – and explore how structural factors such as weather, commute convenience, and workplace proximity have emerged as key differentiators shaping how and when, and how often workers come into the office.
National office visits rose 5.6% year over year in 2025, bringing attendance to just 31.7% below pre-pandemic levels and marking the highest point since COVID disrupted workplace routines. At the same time, the pace of growth slowed compared to 2024, signaling a possible transition into a steadier phase of recovery.
With new return-to-office mandates expected in 2026, and the balance of power quietly shifting towards employers, additional gains remain likely. But the trajectory suggested by the data points toward gradual progress rather than a return to the more rapid rebounds seen in 2023 or 2024.
Before COVID, “I couldn’t come in, it was raining” would have sounded like a flimsy excuse to most bosses. But today, weather, travel, and individual scheduling are widely accepted reasons to stay home, reflecting a broader assumption that face time should flex around convenience.
This shift is visible in the growing seasonality of office visitation, which has intensified even as overall attendance continues to rise. In 2019, office life followed a relatively steady year-round cadence, with only modest quarterly variation after adjusting for the number of working days. In recent years, however, greater seasonality has emerged. Since 2024, Q1 and Q4 have consistently underperformed while Q2 and Q3 have posted meaningfully stronger attendance – a pattern that became even more pronounced in 2025. Winter weather disruptions, extended holiday travel, and the growing normalization of “workations” appear to be pulling some visits out of the colder, holiday-heavy months and concentrating them into late spring and summer.
For employers, office owners, downtown retailers, and city planners, this emerging seasonality matters. Staffing, operating budgets, and programming decisions increasingly need to account for predictable soft quarters and peak periods, making quarterly planning a more useful lens than annual averages. Leasing activity may also convert best in Q2 and Q3, when districts feel most active. Slower quarters, meanwhile, may be better suited for renovations, construction, or employer- and city-led programming designed to give workers a reason to show up.
The growing premium placed on convenience is also evident in the persistence of the TGIF workweek – and in the factors shaping its regional variability.
Before COVID, Mondays were typically the busiest day of the week, followed by relatively steady attendance through Thursday and a modest drop-off on Fridays. Today, Tuesdays and Wednesdays have firmly established themselves as the primary anchor days, while Mondays and Fridays see consistently lower activity. And notably, this pattern has remained essentially stable over the past three years – despite minor fluctuations – as workers continue to cluster their in-office time around the days that offer the most perceived value while preserving flexibility at the edges of the week.
At the same time, while the hybrid workweek remains firmly entrenched nationwide, its contours vary significantly across regions – and the data suggests that convenience is once again a key differentiator.
Across major markets, a clear pattern emerges: Cities with higher reliance on public transportation tend to see weaker Monday office attendance, while markets where more workers drive alone show stronger early-week presence. While industry mix and local office culture still matter, the data points to commute hassle as another factor potentially shaping Monday attendance.
New York City, excluded from the chart below as a clear outlier, stands as the exception that proves the rule. Despite nearly half of local employees relying on public transportation (48.7% according to the Census 2024 (ACS)), the city’s extensive and deeply embedded transit system appears to reduce perceived friction. In 2025, Mondays accounted for 18.4% of weekly office visits in the city, even with heavy transit usage.
The contrast highlights an important nuance: Where transit is fast, frequent, and integrated into daily routines, it can support office recovery, offering a potential roadmap for other dense urban markets seeking to rebuild early-week momentum.
Another powerful signal of today’s convenience-first mindset shows up in commute distances. Since 2019, the share of office visits generated by employees traveling less than five miles has steadily increased, largely at the expense of mid-distance commuters traveling 10 to 25 miles.
To be sure, this metric reflects total visits rather than unique visitors, so the shift may be driven by increased visit frequency among workers with shorter, simpler commutes rather than a change in where employees live overall. Still, the pattern is telling: Workers with shorter commutes appear more likely to generate repeat in-person visits, while longer and more complex commutes correspond with fewer trips. Over time, this dynamic could shape office leasing decisions, residential demand near employment centers – whether in urban cores or in nearby suburbs – and the geography of the workforce.
Taken together, the data paints a clear picture of the modern return-to-office landscape. Attendance is rising, but behavior is no longer driven by mandates alone. Instead, workers are making rational, convenience-based decisions about when coming in is worth the effort.
For cities, the implication is straightforward: Ease of access matters. Investments in transit reliability, last-mile connectivity, and housing near employment centers can all play a meaningful role in shaping how consistently people show up. For employers, too, the lesson is that the path back to the office runs through convenience, not just compulsion, as attendance gains are increasingly driven by how effectively organizations reduce friction and increase the perceived value of being on-site.
1. AI is raising the bar for physical retail as shoppers arrive more informed, more intentional, and less tolerant of friction – though the impact varies by category and format.
2. As discovery shifts upstream, stores increasingly serve as confirmation rather than discovery points where shoppers validate decisions through hands-on experience and expert guidance.
3. AI-based tools can improve in-store performance by removing operational friction – shortening trips in efficiency-led formats and supporting deeper engagement in experience-led ones.
4. By embedding expertise directly into frontline workflows, AI helps retailers deliver consistent, high-quality service despite high turnover and limited training windows.
5. AI enables precise, location-specific marketing and execution, allowing retailers of any size to align assortments, staffing, and messaging with real local demand.
6. Retailers can also use AI to manage their store fleets with greater discipline and understand where to expand, where to avoid cannibalization, and where to rightsize based on observed demand rather than static assumptions.
7. AI is not a universal lever in physical retail; its value depends on the store format, and in discovery-driven models it should support operations behind the scenes rather than reshape the customer experience.
Physical retail has faced repeated claims of obsolescence, from the rise of e-commerce to the shock of COVID. Each time, analysts predicted a structural decline in brick-and-mortar. And each time, physical retail adapted.
AI has triggered a similar round of predictions. Much of the current discussion frames retail’s future as a binary outcome: either stores become heavily automated, or e-commerce becomes so optimized that physical locations lose relevance altogether.
But past disruptions point in a different direction. E-commerce changed how physical retail operated by raising expectations for omnichannel integration, speed, and clarity of purpose. Retailers that adjusted store formats, merchandising, and operations accordingly went on to drive sustained growth.
AI likely represents another inflection point for physical retail. As shoppers arrive with more information, clearer intent, and even less tolerance for friction than in the age of "old-fashioned" e-commerce, physical stores will remain – but the standards they are held to continue to rise.
This report presents four ways retailers are using AI to get – and stay – ahead as physical retail adapts to this next wave of disruption.
E-commerce moved discovery earlier in the shopping journey. Instead of beginning the process in-store, many shoppers now arrive at brick-and-mortar locations after having deeply researched products, comparing options, and narrowing choices online – entering the store to validate rather than initiate their purchasing decision.
AI-powered shopping accelerates this pattern. Conversational assistants, recommendation engines, and AI-driven discovery across search and social reduce the time and effort required to evaluate options – and this shift is changing consumers' expectations around the in-store experience.
Apple shows what it looks like when a physical store is built for well-informed shoppers. Given the prevalence of AI-powered search and assistants in high-consideration categories like consumer electronics, Apple customers likely arrive at the Apple Store with more preferences already shaped by AI-assisted research than other retail categories.
Apple Stores were designed for this kind of customer long before AI became widespread. The layout puts working products directly in customers’ hands, merchandising emphasizes live use over promotional signage, and associates are trained to answer detailed technical questions rather than walk shoppers through basic options.
That alignment is showing up in store behavior. Even as AI-powered shopping expands, Apple Stores continue to see rising foot traffic and longer visits thanks to the store's specific and curated role in the customer journey – a place where customers confirm decisions through hands-on experience and expert guidance.
Some applications of AI extend trends that e-commerce has already introduced. Others address operational challenges that previously required manual coordination or tradeoffs.
AI can reduce friction and make store visits more predictable by improving staffing allocation, reducing checkout delays, optimizing inventory placement, and managing traffic flow. These changes reduce friction without altering the visible customer experience.
Sam's Club offers a clear, recent example of AI solving a specific in-store bottleneck. For years, customers completed checkout only to face a second line at the exit, where an employee manually scanned paper receipts and spot-checked carts.
In early 2024, Sam’s Club introduced computer vision-powered exit gates, allowing customers to exit the store without stopping as AI algorithms instantly captured images of the items in their carts and matched them against digital purchase data. Employees previously tasked with receipt checks could now shift their focus to member assistance and in-store support.
The impact was measurable. Sam’s Club reported that customers now exit stores 23% faster than under manual receipt checks, a result confirmed by a sustained nationwide decline in average dwell time. During the same period, in-store traffic increased 3.3% year-over-year – demonstrating how removing friction with AI can deliver tangible gains.
AI optimizes stores for different outcomes. At Sam’s Club, it shortens visits by removing friction from task-driven trips. At Apple, upstream research leads to longer visits focused on testing, questions, and decision validation. In both cases, AI aligns store execution with shopper intent – prioritizing speed and throughput in efficiency-led formats and deeper engagement in experience-led ones.
Beyond shaping store roles and streamlining operations, AI can also address a long-standing challenge in physical retail: delivering consistent, high-quality expertise on the sales floor despite high turnover and seasonal staffing. In the past, retailers relied on heavy training investments that often failed to pay off. AI can now embed that expertise directly into frontline workflows, allowing associates to deliver confident, informed service regardless of tenure and strengthening the in-store experience at scale.
In May 2025, Lowe’s rolled out a major in-store AI enhancement called Mylow Companion, an AI-powered assistant that equips frontline staff with real-time, expert support on product details, home improvement projects, inventory, and customer questions.
Mylow Companion is embedded directly into associates’ handheld devices, delivering instant guidance through natural, conversational interactions, including voice-to-text. This enables even newly hired employees to provide confident, expert-level advice from day one, while helping experienced associates upsell and cross-sell more effectively. The tool complements Mylow, a customer-facing AI advisor launched the same year to help shoppers plan projects and discover the right products, leading to increased customer satisfaction.
While AI alone cannot solve demand challenges—especially amid macroeconomic pressure on large-ticket discretionary spending—early signals suggest it may still play a meaningful role. Location analytics indicate narrowing year-over-year visit gaps at Lowe’s post-deployment, pointing to a potentially improved in-store experience. And Home Depot’s recent announcement of agentic AI tools developed with Google Cloud suggests that these technologies are becoming table stakes in this category.
As more retailers roll out similar capabilities, those that moved earlier are better positioned to help set the bar – and benefit as the market adapts.
Beyond improving the in-store experience, AI also gives retailers a powerful way to drive foot traffic through precision marketing. By processing large volumes of behavioral, location, and timing data, AI can help retailers decide who to reach, when to engage them, where to activate, and what message or assortment will resonate – shifting marketing from broad seasonal pushes to campaigns grounded in local demand.
Target offers an early example of this approach before AI became widespread. Stores near college campuses have long tailored assortments and messaging around the academic calendar, especially during the back-to-school season. In August, these locations emphasize dorm essentials, compact storage, bedding, tech accessories, and affordable décor – supported by campaigns aimed at students and parents preparing for move-in. That localized approach has been effective in driving in-store traffic to Target stores near college campuses, with these venues seeing consistent visit spikes every August and outperforming the national average across multiple back-to-school seasons from 2023 to 2025.
AI makes local execution repeatable at scale. By analyzing visit patterns, past performance, and timing signals across thousands of locations, retailers can decide which products to promote, how to staff stores, and when to run campaigns at each location. Marketing, merchandising, and store operations then act on the same demand signals instead of separate assumptions.
Crucially, AI makes this level of localization accessible to retailers of all sizes. What once required the resources and institutional knowledge of a big-box giant can now be achieved through precision marketing and demand forecasting tools, allowing brands to adapt each store’s messaging, assortment, and execution to the unique rhythms of its community.
Beyond improving performance at individual stores, AI can also give retailers a clearer view of how their entire store fleet is working – and where it should grow, contract, or change. By analyzing foot traffic patterns, trade areas, customer overlap, and visit frequency across locations, AI helps retailers identify which sites are truly reaching their target audiences and which are underperforming relative to local demand.
AI also plays a critical role in smarter expansion. Retailers can use it to identify markets and neighborhoods where demand is growing, customer overlap is low, and incremental visits are likely – reducing the risk of cannibalization when opening new stores. By modeling how shoppers move between existing locations, AI can flag when a proposed site will attract new customers versus simply shifting traffic from nearby stores, grounding expansion decisions in observed behavior rather than demographic proxies or intuition alone.
Equally important, AI helps retailers recognize when expansion no longer makes sense. By tracking total fleet traffic, visit growth, and trade-area saturation, retailers can assess whether new stores are adding net demand or diluting performance. The same signals can identify locations where demand has structurally declined, informing rightsizing decisions and store closures. In this way, AI supports a more disciplined approach to physical retail – one that treats the store fleet as a dynamic system to be optimized over time, rather than a footprint that only grows.
The impact of AI on physical retail will vary significantly by category and format. Not every successful store experience is built around efficiency, prediction, or pre-qualification. Retailers with clearly differentiated offline value don’t necessarily benefit from forcing AI into customer-facing experiences that dilute what makes their stores work.
“Treasure hunt” formats are a clear example. Off-price retailers like TJ Maxx, Marshalls, Ross, and Burlington continue to drive strong traffic by offering unpredictability, scarcity, and discovery that cannot be replicated – or meaningfully enhanced – through AI-driven search or recommendation. The appeal lies precisely in not knowing what you’ll find. For these retailers, heavy investment in AI-led personalization or pre-shopping guidance risks undermining the core experience rather than improving it.
Similar dynamics apply in other categories. Independent boutiques, vintage stores, resale shops, and certain specialty retailers succeed by offering curation, serendipity, and human taste rather than optimization. In these cases, AI may still play a role behind the scenes – supporting inventory planning, pricing, or site selection – but it should not reshape the customer-facing experience. AI is most valuable when it reinforces a retailer’s existing value proposition. Formats built around discovery, surprise, or experiential browsing should protect those strengths, even as other parts of the retail landscape move toward greater efficiency and intent-driven shopping.
AI is forcing physical retail to evolve with intention. By creating a supportive environment for customers who arrive with made-up minds, removing friction inside the store, offering the best in-store services, and orchestrating demand with greater precision, retailers are adapting to the new world standards set by AI. All five strategies focus on aligning stores with shopper intent – what customers want, how the store supports it, and when the interaction happens.
The retailers that win in this next era won’t be the ones that use AI to simply automate what already exists. They’ll be the ones that use it to sharpen the role of physical retail – turning stores into places that help shoppers validate decisions, deliver value beyond convenience, and show up at exactly the right moment in a customer’s journey.
In the age of AI, physical retail wins by becoming more intentional – designed around informed shoppers, optimized for the right outcome in each format, and activated at moments when demand is real.
